Patent Application
20200129753
This application claims priority to Taiwan Patent Application No. 107138192 filed on Oct. 29, 2018, which is hereby incorporated by reference in its entirety.
Embodiments of the present invention relates to a wireless physical stimulation system and method. More specifically, the embodiments of the present invention relate to a system and method to perform wireless physical stimulation based on analyzing physiological signals with a physiological signal model.
Conventional devices such as electric stimulation devices and electric heated blankets are mostly wired devices. Further, the intensity of thermal stimulation or the intensity of electric stimulation is based on the operator's experience to operate the device directly, but it usually cannot provide the most suitable feedback plan to the body. Further, the conventional devices are not equipped with the functions of monitoring the physiologic signals, cannot record physiologic data and analyze physiologic signals, and cannot provide suitable feedback plans for different fatigue conditions to ease a user's fatigue more efficiently.
Accordingly, a common effort shall be made in the field to provide a more efficient wireless physical stimulation system and method.
Provided is a wireless physical stimulation system. The wireless physical stimulation system can comprise at least one sensor, at least one physical stimulation device, and an electronic device, wherein the at least one sensor and the at least one physical stimulation device are disposed on a human body. The at least one sensor is configured to detect at least one first sensing signal. The electronic device comprises a transceiver and a processor, which are electrically connected to each other. The transceiver is configured to wirelessly connect to the at least one sensor and the at least one physical stimulation device and receive the at least one first sensing signal from the at least one sensor. The processor is configured to generate first body condition information on the basis of a body condition identifying model and according to the least one first sensing signal; generate first feedback plan information on the basis of the first feedback model according to the first body condition information; and control the at least one physical stimulation device according to the first feedback plan information.
Further provided is a wireless physical stimulation system. The wireless physical stimulation system can comprise at least one sensor, at least one physical stimulation device, and an electronic device, wherein the at least one sensor and the at least one physical stimulation device are disposed on a human body. The at least one sensor is configured to detect at least one first sensing signal. The electronic device comprises a transceiver. The transceiver is configured to connect to a cloud computing system, the at least one sensor and the at least one physical stimulation device; receive the at least one first sensing signal from the at least one sensor; transmit the at least one first sensing signal to the cloud computing system so that the cloud computing system generates first body condition information on the basis of a body condition identifying model and according to the at least one first sensing signal and generates first feedback plan information on the basis of a feedback model according to the first body condition information; receive the first feedback plan information from the cloud computing system; and transmit the first feedback plan information to the at least one physical stimulation device.
Additionally provided is a wireless physical stimulation method. The wireless physical stimulation method is adapted to a wireless physical stimulation system. The wireless physical stimulation system can comprise at least one sensor, at least one physical stimulation device and an electronic device. The at least one sensor and the at least one physical device are disposed on a human body. The electronic device is wirelessly connected to the at least one sensor and the at least one physical stimulation device. The wireless physical stimulation method comprises the following steps of: detecting, by the at least one sensor, at least one first sensing signal; receiving, by the electronic device, the at least one first sensing signal from the at least one sensor; generating, by the electronic device, first body condition information on the basis of a body condition identifying model and according to the at least one sensing signal; generating, by the electronic device, first feedback plan information on the basis of a first feedback model and according to the first body condition information; and controlling, by the electronic device, at least one physical stimulation device according to the first feedback plan information.
The detailed technology and preferred embodiments implemented of the present invention are described in the following paragraphs accompanying the appended drawings for people skilled in this field to well appreciate the features of the claimed invention.
In the following description, the present invention will be explained with reference to certain example embodiments thereof. It shall be noted that these example embodiments are not intended to limit the present invention to any specific example, embodiment, environment, applications or particular implementations described in these example embodiments. Therefore, description of these example embodiments is only for purpose of illustration rather than to limit the present invention, and the scope of this application shall be governed by the claims.
It should be appreciated that, in the following embodiments and the attached drawings, elements unrelated to the present invention are omitted from depiction; and dimensional relationships among individual elements in the attached drawings are provided only for ease of understanding, but not to limit the actual scale. Except for the particular explanation, identical (or similar) elements may correspond to the identical (or similar) elements. Furthermore, terms “first”, “second” and “third” used in the present specification are used to distinguish the order relation between the identical objects.
The at least one sensor 13 and the at least one physical stimulation device 15 are disposed on a human body and are wirelessly connected to the transceiver 111. For example, as shown in
Furthermore, each circle in
The processor 113 receives the at least one sensing signal S1 from the at least one sensor 13 via transceiver 111. The processor 113 is configured to generate first body condition information B1 on the basis of a body condition identifying model M1 and according to the least one first sensing signal S1. Then, the processor 113 is configured to generate first feedback plan information C1 on the basis of a first feedback model F1 and according to the first body condition information B1. Next, the processor 113 is configured to control the at least one physical stimulation device 15 according to the first feedback plan information C1 to generate the corresponding physical stimulation.
It shall be noted that the electronic device 11 may be electronic product, such as a mobile device, a smart device, or a tablet. The transceiver 111 may comprise various internal connection interfaces (e.g., flat cables of various functions) so that multiple elements disposed in a same apparatus connect and transmit data with each other. In some embodiments, the transceiver 111 may also comprise various input/output interfaces so that multiple elements disposed in different apparatuses connect and transmit data with each other. The input/output interfaces may comprise various wireless communication interfaces (which are for example but not limited to: a Bluetooth interface, a Wi-Fi interface, a mobile communication network interface or the like).
Moreover, both of the sensor 13 and the physical stimulation device 15 comprise microcontroller and transceiver to transmit, receive and process relative signals and commands. The sensor 13 and the physical stimulation device 15 are equipped with independent power source for wireless operation.
In one or some implementations, the physical stimulation device 15 may be one or both of a wireless thermotherapy device and a wireless electrotherapy device. In some implementations, the physical stimulation device 15 may be a low energy laser light emitting diode (LED) radiating device or a magnetic field excitation device. The processor 113 controls one of the wireless thermotherapy device and the wireless electrotherapy device according to the first feedback plan information C1. In addition, in one or some implementations, the first feedback plan information C1 may include a thermal stimulation plan and an electric stimulation plan.
It shall be noted that, the first feedback plan information C1 includes control parameters which the electronic device 11 transmits to the physical stimulation device 15. For example, if the physical stimulation device 15 is a thermal stimulation device, the control parameters may include duration time, temperature, etc. For another example, if the physical stimulation device 15 is an electric stimulation device, the control parameters may include duration time, intensity, frequency, waveform, etc. However, the present invention is not limited by the aforesaid examples.
In one or some implementations, the body condition identifying model M1 and the first feedback model F1 are stored in the storage 115 in advance. The processor 113 may access the data stored by the storage 115. The establishment of the body condition identifying model M1 may be based on measurement data, laboratory data, etc. The establishment of the first feedback model F1 may be based on a fatigue position, a fatigue level, a type of physical stimulation, etc. In some implementations, the first feedback model may be established by an electronic apparatus comprising an input unit, an output unit, a memory unit, a logic processing and controlling unit. The input unit may receive sensing signals, and the output unit may generate different physical stimulation modes. The memory unit may memorize the logic processing results which are set by a user and used in the last time. The logic processing and controlling unit calculates, according to the changes of input signals and the data stored by the memory, a new physical stimulation method to control the output unit.
In one or some implementations, the electronic device 11 further comprises an input unit (not shown), which is electrically connected to the processor 113. The input unit is configured to receive and transmit a user command to the processor 113. Then, the processor 113 adjusts the physical stimulation device 15 according to the user command. In other words, a user may actively adjust the plan and intensity of the physical stimulation via the input unit.
In the second embodiment, after the processor 113 transmits the first feedback plan information C1 to the physical stimulation device 15, the at least one sensor 13 further detects at least one second sensing signal S2. The processor 113 is further configured to receive the at least one second sensing signal S2 from the at least one sensor 13. In other words, after the electronic device 21 executes the physical stimulation, the electronic device 21 detects the reaction condition of the body muscle in response to the physical stimulation.
Afterwards, the processor 113 is further configured to establish a second feedback model F2 according to the at least one second sensing signal S2 and the first feedback model F1. The processor 113 is further configured to generate second body condition information B2 on basis of the body condition identifying model M1 and according to the least one second sensing signal S2. Then, the processor 113 is further configured to generate second feedback plan information C2 on the basis of the second feedback model F2 and according to the second body condition information B2. Then, the processor 113 is further configured to control the at least one physical stimulation device 15 according to the second feedback plan information C2.
In other words, in the second embodiment, after the wireless physical stimulation system 2 performs the physical stimulation, the wireless physical stimulation system 2 further uses the second sensing S2 to adjust the first feedback model F1 into the second feedback model F2 as the use of physical stimulation plan for a specific user. Therefore, wireless physical stimulation system 2 may generate the second body condition information C2 according to the modified the second feedback model F2 to provide more effective physical stimulation.
In one or some implementations, the processor 113 may stores the second feedback model F2 in the storage 115 so that the processor 113 further uses or modifies it later. Moreover, in one or some implementations, the second sensing signal S2 includes an electromyogram (EMG) signal.
In the third embodiment, the electronic device 31 further comprises an input unit 117, which is electrically connected to the processor 113. The input unit 117 is configured to receive a user command Ul inputted by a user. The processor 113 is further configured to establish a third feedback model F3 according to the user command Ul and the first feedback model F1. In other words, the user can adjust the first feedback model F1 according to the feelings in response to the physical stimulation.
On the other hand, the at least one sensor 13 is further configured to detect at least one third sensing signal S3 and transmit the at least one third sensing signal S3 to the processor 113 of the electronic device 31. The processor 113 is further configured to generate third body condition information B3 on the basis of the body condition identifying model M1 and according to the at least one third sensing signal S3. Next, the processor 113 is further configured to generate third feedback plan information C3 on the basis of the third feedback model F3 and according to the third body condition information B3. Then, the processor 113 is further configured to control the at least one physical stimulation device 15 according to the third feedback plan information C3.
In other words, in the third embodiment, after the wireless physical stimulation system 3 controls the physical stimulation device 15 according to the third feedback plan information C3 to perform the physical stimulation to a user, the user may further use the user command Ul and the first feedback model F1 to establish the third feedback model F3 which satisfies personal demand, for example, recording the best physical stimulation control plan used by a user the most often and performing customized adjustments according to the user command. Therefore, the wireless physical stimulation system 3 may generate the third feedback plan information C3 according to the third feedback model F3 to provide the physical stimulation which matches the user's expectation more.
In one or some implementations, processor 113 may stores the third feedback model F3 in the storage 115 so that the processor 113 further uses or modifies it later. Moreover, in one or some implementations, the third sensing signal S3 includes an electromyogram (EMG) signal.
Specifically, in the fourth embodiment, the processor 113 is further configure to generate to generate a detection period signal P1 and a feedback period signal P2, wherein the detection period signal P1 and the feedback period signal P2 do not overlap in the operation period with each other. The processor 113 transmits the detection period signal P1 via the transceiver 111 to the at least one sensor 13 to control the detection period of the at least one sensor 13. On the other hand, processor 113 transmits the feedback period signal P2 via the transceiver 111 to the at least one physical stimulation device 15 to control the feedback period of the at least one physical stimulation device 15. In other words, the wireless physical stimulation system 4 separates the operation durations of the sensor and the physical stimulation device to avoid measuring the incorrect measurement signals.
Specifically, in the fifth embodiment, the at least one sensor 13 includes an electromyogram (EMG) sensor 13a, and the electromyogram sensor 13a is configured to detect an electromyogram signal S1a. Therefore, the at least one sensing signal S1 includes at least one electromyogram signal S1a.
The body condition identifying model M1 further comprises a fatigue characteristic curve V1 and a characteristic threshold T1. The fatigue characteristic curve V1 is established by its characteristic data obtained by time-domain analysis and frequency-domain analysis to the at least one electromyogram signal S1a at a data training stage by the wireless physical stimulation system 5. The wireless physical stimulation system 5 further determines the characteristic threshold T1 according to the characteristic data.
On the other hand, each of muscle fatigue condition information E1 is recorded in the first body condition information B1. Each set of the fatigue characteristic curves V1 and the characteristic threshold T1 corresponds to one the muscle fatigue condition information E1. Therefore, the processor 113 is further configured to generate the muscle fatigue condition information E1 of the first body condition information B1 on the basis of the fatigue characteristic curve V1 and the characteristic threshold T1 of the body condition identifying model M1 and according to the at least one EMG signal S1a. In other words, in the fifth embodiment, the body condition identifying model M1 is further configured to record EMG signals of different muscle fatigue conditions, and the muscle fatigue conditions corresponding to the EMG signals are recorded in the first body condition information B1.
Please refer to
It shall be noted that the aforesaid content is merely used for the explanation of establishing body condition identifying model according to the fatigue characteristic curve and the characteristic threshold and the explanation of generating muscle fatigue condition information according to the fatigue characteristic curve and the characteristic threshold, but it is not used to limit the present invention. As to different types of muscle fatigue conditions, different characteristics may be determined according to EMG signals and be set as characteristic thresholds, and people skilled in the art may achieve or change the features according to the aforesaid content; therefore, here is no need of further description.
Specifically, the sensor 13 comprises a motion sensor 13b, and the motion sensor 13b is configured to detect a motion signal Slb. Therefore, the at least one sensing signal S1 includes at least one motion signal Slb.
The body condition identifying model M1 further comprises a motion posture template W1 and a characteristic threshold X1. The motion posture template W1 is established by its characteristic data obtained by analyzing the at least one motion signal Slb at a data training stage by the wireless physical stimulation system 6. The wireless physical stimulation system 6 further determines the characteristic threshold X1 according to the characteristic data.
On the other hand, each muscle fatigue condition information E2 is recorded in the first body condition information B1. Each set of the motion posture template W1 and the characteristic threshold X1 corresponds to the muscle fatigue condition information E2. In other words, in the sixth embodiment, the body condition identifying model M1 is further configured to record different motion signals corresponding to different muscle fatigue conditions, and the muscle fatigue condition information E2 corresponding to the muscle fatigue conditions are recorded in the first body condition information B1.
For example, at a data training stage, electronic device 11 may record a specific motion according to a motion signal, for example, lifting a stuff, bending, or crouching, to establish the motion posture template. The electronic device 11 may record how many times, duration, frequency, amplitude, etc., to determine the characteristic threshold. Since different muscle fatigues corresponds to different motions, the electronic 11 may establish the relation therebetween. Therefore, the electronic device 11 may determine the muscle fatigue condition information of the first body condition information by analyzing motions and the characteristics of motions.
It shall be noted that the aforesaid content is merely used for the explanation of establishing body condition identifying model according to the motion posture template and the characteristic threshold and the explanation of generating muscle fatigue condition information according to the motion posture template and the characteristic threshold, but it is not used to limit the present invention. As to different types of muscle fatigue conditions, different characteristics may be determined according to motion signals and be set as characteristic thresholds, and people skilled in the art may achieve or change the features according to the aforesaid content.
In the seventh embodiment, the transceiver 111 of the electronic device 71 is connected to a cloud computing system 73. More specifically, the functions of processor 113 and the storage 115 are replaced with the cloud computing system 73. The cloud computing system is equipped with a transceiver 731, a processor 733, and a storage 735. The storage 735 is configure to store the body condition identifying model M1 and first feedback model F1.
More specifically, after the at least one sensor 13 detects and transmits at least one first sensing signal S1, the electronic device 11 transmits the at least one first sensing signal S1 via the transceiver 111 to the cloud computing system 73 so that the cloud computing system 73 generates first body condition information B1 on the basis of the body condition identifying model M1 and according to the at least one first sensing signal S1 and generates first feedback plan information C1 on the basis of a first feedback model F1 and according to the first body condition information B1. Afterwards, the electronic device 71 receives the first feedback plan information C1 from the cloud computing system 73 and transmits the first feedback plan information C1 to the at least one physical stimulation device 15 to control the at least one physical stimulation device 15.
In other words, in the wireless physical stimulation system 7, the electronic device 11 is merely used to transmit the relevant measurement signals, control signals, etc. The operations of the at least one sensor 13 and the at least one physical stimulation device 15 is controlled by the cloud computing system 73.
Please refer to
In one or some implementations, the wireless physical stimulation method 8 further comprises the step of: controlling, by the electronic device, a detection period of the at least one sensor and a feedback period of the at least one physical stimulation device, wherein the detection period and the feedback period do not overlap with each other. Other embodiments and technical descriptions are the same as those of the previous embodiments, and the detailed description is not repeated.
In one or some implementations, the physical stimulation device of the wireless physical stimulation system comprises both of a wireless thermotherapy device and a wireless electrotherapy device. The wireless physical stimulation method 8 further comprises the step of: controlling, by the electronic device, both of the wireless thermotherapy device and the wireless electrotherapy device according to the first feedback plan information.
In one or some implementations, the wireless physical stimulation method 8 further comprises the step of: receiving a user command via the electronic device, and adjusting the physical stimulation device via the electronic device according to the user command.
In one or some implementations, the wireless physical stimulation method 8 may be adapted for the wireless physical stimulation system 1, and have the corresponding steps to achieve the functions of the wireless physical stimulation system 1. Therefore, people skilled in the art may directly and comprehensively understand all of the corresponding steps of the wireless physical stimulation method 8 according to the aforesaid content of the wireless physical stimulation system 1; thus, the content is not repeatedly described here.
In addition to the steps 801, 803, 805, 807, and 809 in
In addition to the steps 801, 803, 805, 807, and 809 in
Please refer to
In addition to the aforesaid eighth embodiment to the eleventh embodiment, the wireless physical stimulation method of the present invention is capable of performing all of the same functions mentioned in the aforesaid first embodiment to the seventh embodiment of the present invention, and delivers the same technical effects. Thus, the similar details are omitted. Besides, in the condition that the features do not conflict with each other, the aforesaid embodiments and implementations can be combined as an embodiment.
In summary, the wireless physical stimulation system and wireless physical stimulation method of the present invention determine body condition information according to a sensing signal of a sensor and a body condition identifying model and determine a physical stimulation feedback plan according to the body condition information and a feedback model. Therefore, in comparison with conventional thermotherapy/electrotherapy devices, the wireless physical stimulation system and the wireless physical stimulation method of the present invention further function as monitoring physiologic condition and providing a suitable physical stimulation plan in response to the physiologic condition of a user. Therefore, the present invention improves the drawbacks of the conventional thermotherapy/electrotherapy devices.
The above disclosure is related to the detailed technical contents and inventive features thereof. People of ordinary skill in the art may proceed with a variety of modifications and replacements based on the disclosures and suggestions of the invention as described without departing from the characteristics thereof. Nevertheless, although such modifications and replacements are not fully disclosed in the above descriptions, they have substantially been covered in the following claims as appended.
| Number | Date | Country | Kind |
|---|---|---|---|
| 107138192 | Oct 2018 | TW | national |
